Long short-term memory recurrent-neural-network-based bandwidth extension for automatic speech recognition

被引：3
|
作者：
Tachioka, Yuuki [1 ]
Ishii, Jun [1 ]
机构：
[1] Mitsubishi Electr Corp, Informat Technol R&D Ctr, 5-1-1 Ofuna, Kamakura, Kanagawa 2478501, Japan
来源：
ACOUSTICAL SCIENCE AND TECHNOLOGY | 2016年 / 37卷 / 06期
关键词：
Speech recognition; Bandwidth extension; LSTM-RNN;
D O I：
10.1250/ast.37.319
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
引用
收藏
页码：319 / 321
页数：3
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